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Tighter Generalization Bounds for Iterative Differentially Private
  Learning Algorithms

Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms

18 July 2020
Fengxiang He
Bohan Wang
Dacheng Tao
    FedML
ArXivPDFHTML

Papers citing "Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms"

4 / 4 papers shown
Title
Towards the Flatter Landscape and Better Generalization in Federated
  Learning under Client-level Differential Privacy
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Yi Shi
Kang Wei
Li Shen
Yingqi Liu
Xueqian Wang
Bo Yuan
Dacheng Tao
FedML
38
2
0
01 May 2023
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang
Song Guo
Junxiao Wang
Xin Xie
Dacheng Tao
35
36
0
15 Jun 2022
Rethinking Portrait Matting with Privacy Preserving
Rethinking Portrait Matting with Privacy Preserving
Sihan Ma
Jizhizi Li
Jing Zhang
He-jun Zhang
Dacheng Tao
24
23
0
31 Mar 2022
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
23
2
0
12 Dec 2021
1